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Solving optimal control problem using max-min ant system

Ahmad, Rohanin and S., Babaeizadeh and A., Banitalebi and Abd. Aziz, Mohd. Ismail (2012) Solving optimal control problem using max-min ant system. IOSR Journal of Mathematics, 1 (3). pp. 47-51. ISSN 2278-5728

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Official URL: http://www.iosrjournals.org/iosr-jm/pages/v1i3.htm...

Abstract

An improved ant colony algorithm for optimal control problems with box constrain on control functions is presented. The hypercube of the feasible controls as well as the time interval are initially discretized to approximate control problem into a discrete parameter selection problem. Then, the ant colony algorithm is applied to search for optimum parameters of approximated problem while a proper local search is also introduced to iteratively enhance the quality of solution. The results of numerical simulation on MATLAB environment illustrate the effectiveness of this method.

Item Type:Article
Uncontrolled Keywords:Ant colony, Global optimi zation, Optimal control problem
Subjects:Q Science
Divisions:Science
ID Code:33055
Deposited By: Fazli Masari
Deposited On:05 May 2014 12:35
Last Modified:31 Oct 2018 20:36

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